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Table 1 Characteristics of studies included in the meta-analysis

From: Performance of the quick Sequential (sepsis-related) Organ Failure Assessment score as a prognostic tool in infected patients outside the intensive care unit: a systematic review and meta-analysis

Author, year [reference]

Design

Country

Total no. of patients

Mean age, years

Male sex (%)

Location

Overall mortality rate (%)

qSOFA score recorded

Measured mortality

Participant selection

Primary study aim

April et al., 2017 [18]

Retrospective, single-center, cohort study

USA

214

68

59

ED

18.2

Worst values during ED stay

In-hospital mortality

Suspected infection, admitted to ICU

Comparison of prognostic accuracy of qSOFA and SIRS for predicting in-hospital mortality

Askim et al., 2017 [19]

Prospective, single-center, observational study

Norway

1535

62

53

ED

4.4

ED arrival

7- and 30-day mortality

Suspected infection

Clinical usefulness of qSOFA to predict severe sepsis and 7- and 30-day mortality

Chen et al., 2016 [20]

Retrospective, single-center, observational study

China

1631

73

59

ED

33

ED arrival

28-day mortality

Community-acquired pneumonia

Comparison of prognostic performance of qSOFA, CRB-65, and CRB

Churpek et al., 2017 [21]

Retrospective, single-center, observational study

USA

30,677

58

47

ED, ward

5.4

At time of initial suspicion of infection

In-hospital mortality

Suspected infection

Comparison of qSOFA with other commonly used early warning scores for in-hospital mortality

Donnelly et al., 2017 [22]

Retrospective, multicenter, cohort study

USA

2593

67

40

NA

11.3

Worst values within 28 h of hospital admission

28-day and 1-year mortality

Suspected infection

Incidence and long-term outcomes of patients diagnosed with sepsis and septic shock

Dorsett et al., 2017 [23]

Retrospective, single-center, observational study

USA

152

NA

NA

ED

NA

Prehospital, upon ED arrival, and during ED stay

NA

Suspected infection

Prehospital qSOFA score in early identification of patients with severe sepsis or septic shock

Finkelsztein et al., 2017 [24]

Prospective, single-center, cohort study

USA

151

64

55

ED, ward

19

Within 8 h before ICU admission

In-hospital mortality

Suspected infection, admitted to medical ICU

Comparison of discriminatory capacity of qSOFA vs. SIRS criteria for predicting in-hospital mortality and ICU-free days

Forward et al., 2017 [25]

Retrospective, single-center, observational study

Australia

162

NA

NA

Non-ICU

15.5

Within 24 h of deterioration

In-hospital mortality

Suspected infection

Comparison of prognostic performance of qSOFA, SIRS, and SK criteria

Freund et al., 2017 [26]

Prospective, multicenter, cohort study

Europe

879

67

53

ED

8.4

Worst values during ED stay

In-hospital mortality

Suspected infection

Validation of qSOFA as mortality predictor comparing SIRS with SOFA

Giamarellos-Bourboulis et al., 2017 [27]

Retrospective, multicenter, cohort study

Greece

3436

NA

NA

ED, ward

25.2

Initial values measured during admission to ED

In-hospital mortality

Suspected or confirmed infection

Sensitivity of qSOFA for early assessment of mortality and organ dysfunction

Henning et al., 2017 [28]

Post hoc analysis

USA

7637

58

50

ED

14.2

Worst values during ED stay

In-hospital mortality

Suspected infection

Performance of qSOFA predicting in-hospital mortality

Huson et al., 2017 [29]

Retrospective, single-center, observational study

Gabon

329

34

38

Non-ICU

4.5

At time of initial suspicion of infection

In-hospital mortality

Suspected infection

Predictive value of qSOFA score for mortality

Hwang et al., 2017 [30]

Retrospective, single-center, cohort study

South Korea

1395

65

56

ED

15

ED arrival and within 3, 6, and 24 h

In-hospital and 28-day mortality

Severe sepsis or septic shock

Diagnostic performance of positive qSOFA score for predicting 28-day mortality among critically ill patients with sepsis

Kim et al., 2017 [31]

Retrospective, single-center, observational study

South Korea

615

54

33

Non-ICU

3.2

At time of initial suspicion of infection

28-day mortality

Neutropenic fever

Predictive performance of qSOFA as screening tool for sepsis, mortality, and ICU admission

Kolditz et al., 2017 [32]

Retrospective, multicenter, observational study

Germany

9327

64

56

Non-ICU

3.0

At time of initial suspicion of infection

30-day mortality

Community-acquired pneumonia

Comparison of qSOFA and CRB-65 for risk prediction

Mellhammar et al., 2017 [33]

Retrospective population-based study

Sweden

339

NA

NA

Non-ICU

NA

Within ± 12 h from initiation of antibiotic therapy

NA

Suspected infection

Incidence of sepsis with organ dysfunction

Park et al., 2017 [34]

Retrospective, single-center, observational study

South Korea

1009

67

45

ED

15.8

ED arrival

In-hospital mortality

Suspected infection

Comparison of performance of qSOFA and SIRS to predict development of organ failure

Peake et al., 2017 [35]

Post hoc analysis

Australia

1591

63

60

ED

18.7

Worst values during ED stay

90-day mortality

Early septic shock

Exploration of utility and potential effects of new Sepsis-3 definitions

Quinten et al., 2017 [36]

Prospective, single-center, observational study

The Netherlands

193

60

56

ED

4.1

Initial values measured during admission to ED

In-hospital, 28-day, and 6-month mortality

Suspected or confirmed infection

Comparison of predictive performance of qSOFA, CIS, and PIRO score for ICU admission

Ranzani et al., 2017 [37]

Retrospective, two-center, cohort study

Spain

6874

66

62

ED

6.4

ED arrival

In-hospital mortality

Community-acquired pneumonia

Comparison of predictive performance of SIRS, qSOFA, CRB, mSOFA, and CURB-65 for in-hospital mortality

Seymour et al., 2016 [6]

Retrospective, multicenter, cohort study (in the UPMC validation cohort)

USA

66,522

61

43

ED, ward

2.8

At time of initial suspicion of infection

In-hospital mortality

Suspected infection

Comparison of performance of qSOFA, SIRS, SOFA, and MODS score to predict sepsis

Wang et al., 2016 [38]

Retrospective, single-center, observational study

China

477

73

62

ED

27.4

ED arrival

28-day mortality

Suspected infection

Performance of qSOFA for predicting mortality and ICU admission

Williams et al., 2017 [39]

Retrospective, single-center, observational study

Australia

8871

49

51

ED

8.7

Worst values during ED stay

30-day and 1-year mortality

Suspected infection

Comparison of diagnostic accuracy of SIRS and qSOFA for organ dysfunction and mortality

  1. Abbreviations: qSOFA Quick Sequential (Sepsis-related) Organ Failure Assessment, ED Emergency department, ICU Intensive care unit, SIRS Systemic inflammatory response syndrome, CRB Confusion, respiratory rate ≥ 30/minute, systolic blood pressure < 90 mmHg or diastolic blood pressure ≤ 60 mmHg, CRB-65 Confusion, respiratory rate ≥ 30/minute, systolic blood pressure < 90 mmHg or diastolic blood pressure ≤ 60 mmHg, age ≥ 65 years, CURB-65 Confusion, urea nitrogen, respiratory rate ≥ 30/minute, systolic blood pressure < 90 mmHg or diastolic blood pressure ≤ 60 mmHg, age ≥ 65 years, NA Not available, SK “Sepsis Kills” program clinical excellence committee, CIS Clinical Impression Score, PIRO Predisposition, infection, response, organ dysfunction, mSOFA Modified Sequential (Sepsis-related) Organ Failure Assessment, UPMC University of Pittsburgh Medical Center, MODS Multiple organ dysfunction syndrome, SOFA Sequential (Sepsis-related) Organ Failure Assessment